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Purifi Class D


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12 hours ago, barrows said:

Yeah, I suspect there is some level of efficiency where more headroom will not bring improvements, but without trying one never knows for sure.  My own speakers are 4 ohm, and rated 90 dB for 1 watt, but I suspect that rating is a bit generous, as the speakers do appear to like some more power.  Theoretically, the 400 Watts at 4 ohms should be much more than enough, but the amp with even more headroom has sounded better in the past.

 

Usually it is the loudspeaker's complex impedance that matters from amplifier perspective. Not the absolute resistive impedance power. And that combined with amplifier's damping factor.

 

If you don't have complex impedance curves of the loudspeaker, minimum EPDR gives a good idea how difficult the loudspeaker is to drive. Something like 2.5 ohm EPDR is not unusual, and these appear usually around mid bass frequencies for conventional dynamic speakers. And around treble area for electrostatic speakers (electrostatic is essentially a capacitor, higher the frequency, closer it gets to short-circuit). Magnetostatic speakers have their own unique behavior.

 

High damping factor vs minimum EPDR is best comparison if you want to get idea of how much the amplifier has control over the speaker.

 

If you have electrostatic, it is essentially a short-circuit for class-D's switching frequency.

 

Signalyst - Developer of HQPlayer

Pulse & Fidelity - Software Defined Amplifiers

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On 7/15/2023 at 6:06 PM, Jud said:

If read carefully, the article doesn’t actually say Fourier analysis is insufficient

 

It is good to remember though that human hearing can beat Fourier time-frequency analysis though. All the information persists through the transform though, but just goes through "unnoticed".

 

Signalyst - Developer of HQPlayer

Pulse & Fidelity - Software Defined Amplifiers

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3 hours ago, mocenigo said:

Sorry, but what you just wrote does not make sense at all. Literally. If *all* information passes through the transform, how can human hearing beat it? And isn’t it the purpose of the transform of just changing the domain of the representation of the data and not alter it? What does it “notice” this information mean in this context?

 

Well, @Jud already answered to that. But when you increase frequency resolution by making the transform longer, you lose on the time resolution because the transform covers longer section of the time. And vice versa. Since human hearing is not based on Fourier transform, it is not limited in this way either, it can detect frequency and timing independently.

 

The information is there, in the data, but it gets statistically distributed such way that it doesn't appear, but gets "lost in the noise".

Just like in statistics, there is lot of information there, but whether some information appears in the statistical analysis is another matter.

 

Signalyst - Developer of HQPlayer

Pulse & Fidelity - Software Defined Amplifiers

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3 hours ago, mocenigo said:

Also, some people seem to think that the Fourier transform is fundamental to how sound is represented. This is wrong, it is perfectly possible to have a chain from audio recording to reproduction that does not perform any FT or FFT, except for the purpose of analysing the content. There are formats based on the FFT but they are optional. And, on top of it, the lossless ones also carry the difference between the signal and the deconvoluted version; so this is not an issue anyway.

 

But you can add the transform to the data path and it wouldn't alter the data at all. You wouldn't be able to tell whether it is there or not.

 

Signalyst - Developer of HQPlayer

Pulse & Fidelity - Software Defined Amplifiers

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